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1
Document Domain Randomization for Deep Learning Document Layout Extraction
In: Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR, September 5--10, Lausanne, Switzerland) ; https://hal.inria.fr/hal-03336444 ; Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR, September 5--10, Lausanne, Switzerland), Sep 2021, Lausanne, Switzerland. pp.497-513, ⟨10.1007/978-3-030-86549-8_32⟩ (2021)
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2
Document Domain Randomization for Deep Learning Document Layout Extraction ...
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3
From informational to emotive use: meiyou (`no') as a discourse marker in Taiwan Mandarin conversation
In: Discourse studies. - London [u.a.] : Sage 9 (2007) 5, 677-702
OLC Linguistik
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4
Phonological Parsing for Bi-directional Letter-to-Sound/Sound-to-Letter Generation
In: http://www.lcs.mit.edu/publications/pubs/ps/MIT-LCS-TR-687.ps.gz (1995)
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5
Phonological Parsing for Bi-Directional Letter-to-Sound / Sound-to-Letter Generation
In: http://www.lcs.mit.edu/publications/pubs/pdf/MIT-LCS-TR-687.pdf (1995)
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6
The Use of Distinctive Features for Automatic Speech Recognition
In: http://www.lcs.mit.edu/publications/pubs/pdf/MIT-LCS-TR-515.pdf (1991)
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7
Modeling the Statistical Behavior of Lexical Chains to Capture Word Cohesiveness for Automatic Story Segmentation
In: http://www.se.cuhk.edu.hk/hccl/publications/pub/ps2-8.pdf
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8
Modeling the statistical behavior of lexical chains to capture word cohesiveness for automatic story segmentation
In: http://lxie.nwpu-aslp.org/papers/2007-Interspeech-A2-EI-Conf.pdf
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